Technology

Mater Hospital Embraces AI to Boost Emergency Radiology Services

Published December 13, 2023

The Mater Misericordiae University Hospital, a leader in healthcare innovation, has taken a significant step by incorporating artificial intelligence (AI) into its radiology department, marking a first in Ireland. This technological integration aims to enhance the efficiency of emergency care provided at the hospital.

Revolutionizing Patient Diagnosis

AI technology has been instrumental in examining over 15,000 patient scans, rapidly identifying suspected conditions such as intracranial haemorrhages and pulmonary emboli. With four new AI tools in use, the Mater Hospital has greatly improved its service by reducing the time needed for staff to identify and act on urgent medical issues. This deployment includes AI tools for analyzing CT scans, including pulmonary angiograms and detecting cervical spine fractures, among others.

AI's Impact on Healthcare

The AI platform, developed by Aidoc, is commendable for its 'always-on' feature, ensuring continuous, real-time analysis of medical imagery. It excels with an accuracy rate surpassing 90%, automatically highlighting critical cases for immediate review. This has significantly decreased the time taken to deliver medical reports and has improved overall diagnostic precision, optimizing the workflow within the hospital's radiology department.

Prof Peter MacMahon, a Consultant Radiologist at Mater Hospital, highlighted the substantial benefits that AI brings. It expedites crucial diagnoses and alerts radiologists to anomalies quickly, allowing for timely and accurate medical decisions. This innovative approach is not just a win for healthcare efficiency but also for patient care quality.

Future Expansion of AI Tools

With the current success, the Mater Hospital is planning to extend the use of specialized AI tools to analyze bone and chest x-rays within the emergency department by next year, further demonstrating a commitment to enhancing patient care through technology.

healthcare, AI, radiology